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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 6

Image vectorization for architectural painted pattern based on element transformation

Cao Lia,b
Zhang Tengtenga
Yan Zimaia
Gong Chenchena
Zhao Yanga,b
a. College of Computer & Information (Artificial Intelligence College), b. Engineering Research Center of the Ministry of Education for Safety Critical Industrial Measurement & Control Technology, Hefei University of Technology, Hefei 230009, China
DOI: 10.19734/j.issn.1001-3695.2024.09.0374

Abstract

To vectorize architectural painted pattern images that contain reusable graphic elements, while preserving the independence and transformation parameters of the reusable graphic elements, this paper proposed a vectorization method for architectural painted pattern images based on element transformation. This method first divides complex patterns into local patterns; then conducts multi-class element detection on the local patterns to complete element filtering and initialize element transformation parameters; subsequently, an improved differentiable synthesis algorithm is used to calculate the transformation parameters of the elements; ultimately achieving vectorization of the pattern image while retaining the transformation parameters of the reusable graphic elements. Experimental results demonstrate that this method can achieve a smaller image reconstruction error on architectural painted pattern datasets, while also preserving the transformation parameters of the reusable graphic elements. Based on the characteristics of the painted patterns, a variety of vectorization metrics are proposed to compare the performance of various methods. This method has advantages in terms of reconstruction accuracy and the retention of element transformation parameters, and can be applied to the vectorization of images with reusable graphic elements.

Foundation Support

国家自然科学基金项目(62272142,62262056)
安徽省重点研究与开发项目(202104e11020006)
青海省科技成果转化专项项目(2021-GX-111)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.09.0374
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 6

Publish History

[2025-03-06] Accepted Paper

Cite This Article

曹力, 张腾腾, 颜子麦, 等. 基于图元变换的建筑彩绘纹样图像矢量化方法 [J]. 计算机应用研究, 2025, 42 (6). (2025-03-10). https://doi.org/10.19734/j.issn.1001-3695.2024.09.0374. (Cao Li, Zhang Tengteng, Yan Zimai, et al. Image vectorization for architectural painted pattern based on element transformation [J]. Application Research of Computers, 2025, 42 (6). (2025-03-10). https://doi.org/10.19734/j.issn.1001-3695.2024.09.0374. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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